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Ai Math Trainer Jobs in Indiana (NOW HIRING)

Alliance for Cooperativ

AI Engineer

Carmel, IN · On-site

Develop and deliver AI/ML education programs and training sessions for employees at all levels to ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or ...

Stride, Inc.

AI Architect

Indianapolis, IN · On-site

Working from proof-of-concept through full productization, including data ingestion, model training ... Bachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field ...

inKind

Data Engineer (AI)

Austin, IN · On-site

$135K - $155K/yr

... training and inference, and retrieval-augmented generation (RAG) systems. Responsibilities ... Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology ...

Major Tool & Machine

AI Engineer

Indianapolis, IN

Ensure proper data handling, model training infrastructure and deployment. Authorities: Not ... Educational Experience - Bachelor's degree in Computer Science, Data Science, Mathematics ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

Ensure proper data handling, model training infrastructure and deployment. Authorities: Not ... Educational Experience - Bachelor's degree in Computer Science, Data Science, Mathematics ...

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Ai Math Trainer information

What is an AI Math Trainer job?

An AI Math Trainer is responsible for developing, curating, and refining mathematical problems and solutions to train AI models. They ensure that AI systems understand and generate accurate mathematical reasoning by reviewing datasets, annotating problems, and validating AI-generated responses. This role requires strong math skills, attention to detail, and the ability to work with AI development teams. AI Math Trainers help improve AI's ability to handle mathematical concepts across various difficulty levels.

What are the key skills and qualifications needed to thrive in the Ai Math Trainer position, and why are they important?

To thrive as an AI Math Trainer, you need a strong background in mathematics, machine learning, and data analysis, usually supported by a degree in mathematics, computer science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), scripting languages (like Python), and experience with data labeling or annotation platforms is highly valuable. Excellent communication, attention to detail, and problem-solving abilities are important soft skills for this role. These skills ensure that complex mathematical concepts are accurately translated and effectively used to train AI models, leading to high-quality, reliable AI systems.

What are some typical daily responsibilities of an AI Math Trainer?

As an AI Math Trainer, your typical day involves curating and creating high-quality mathematical content, annotating datasets, and designing training materials to enhance the performance of mathematical AI models. You may collaborate closely with data scientists, AI engineers, and product teams to identify gaps in AI understanding and tailor your training resources accordingly. Reviewing model outputs for accuracy and providing detailed feedback are also important aspects of the role. This position offers a dynamic work environment that blends technical expertise with educational oversight, allowing you to directly impact the development and improvement of advanced AI solutions.
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Ai Math Trainer jobs near you

AI Engineer

Alliance for Cooperativ

Carmel, IN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AI Engineer
Carmel, IN
This position will be responsible for designing, developing, and implementing artificial intelligence, machine learning, and generative AI solutions to enhance ACES operations, optimizing business processes, and driving data-driven decision making. The AI Engineer serves as a technical expert and educator, working across business units to identify opportunities for AI/ML technologies, including large language models and generative AI capabilities, working across business units to implement clearly defined use cases under the guidance of senior technical leadership. This role requires strong technical skills in AI/ML technologies, the ability to translate business requirements into technical solutions, and excellent communication skills to educate and collaborate with stakeholders at all levels. The AI Engineer ensures all solutions maintain high standards of accuracy, security, and regulatory compliance while advancing ACES' strategic technology goals.
Duties and Responsibilities
  • Design, develop, and deploy artificial intelligence and machine learning solutions to address business needs and operational challenges.
  • Serve as the subject matter expert on AI/ML technologies, techniques, and best practices across the organization.
  • Develop and deliver AI/ML education programs and training sessions for employees at all levels to build organizational capability and understanding.
  • Collaborate with business units to identify, assess, and prioritize opportunities for AI/ML applications that deliver measurable value.
  • Build, train, test, and optimize machine learning models to ensure accuracy, reliability, and performance in production environments.
  • Work with cross-functional teams to create and maintain data pipelines, infrastructure, and tools necessary to support AI/ML development and deployment.
  • Develop automation solutions using AI/ML techniques to improve workflow efficiency and reduce manual processes.
  • Research emerging AI/ML technologies and methodologies, evaluating their potential application to ACES operations.
  • Document AI/ML processes, models, and methodologies to ensure knowledge sharing and maintainability.
  • Implement responsible AI practices including model validation, bias detection, explainability, and ethical considerations.
  • Monitor deployed AI/ML solutions, track performance metrics, and implement improvements as needed.
  • Partner with IT teams including Development, Infrastructure, and Security to ensure proper integration and deployment of AI/ML solutions.
  • Present findings, recommendations, and results to technical and non-technical audiences in clear, understandable formats.
  • Evaluate and recommend AI/ML platforms, tools, and services that align with organizational needs and capabilities.
  • Stay current with industry trends, research, and advancements in artificial intelligence and machine learning.
  • Foster relationships with external AI/ML communities, academic institutions, and industry partners to enhance organizational knowledge.
  • Provide technical guidance and mentorship to team members on AI/ML concepts and implementation approaches.
  • Adhere to and support all ACES corporate policies and comply with all regulatory requirements including but not limited to NERC, FERC, and relevant state regulations as applicable to the position.
  • Any additional responsibilities assigned by management.
Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related quantitative field required.
  • 1-3 years of experience in artificial intelligence, machine learning, or data science or equivalent.
  • Proficiency in programming languages commonly used for AI/ML development such as Python, R, or similar.
  • Strong understanding of machine learning algorithms, statistical methods, and data analysis techniques.
  • Experience with data transformation and analysis tools including SQL, pandas, NumPy, or equivalent.
  • Ability to design, build, and deploy machine learning models in production environments.
  • Knowledge of data engineering concepts and experience working with large and complex datasets.
  • Understanding of AI/ML best practices including model evaluation, validation, and optimization.
  • Familiarity with cloud computing platforms and their AI/ML services.
  • Strong analytical and problem-solving skills with attention to detail and accuracy.
  • Excellent written and verbal communication skills with the ability to explain complex technical concepts to diverse audiences.
  • Demonstrated ability to develop and deliver training and educational content on technical topics.
  • Ability to work independently and collaboratively in a team environment.
  • Strong organizational skills with the ability to manage multiple projects and priorities effectively.
  • Commitment to continuous learning and staying current with rapidly evolving AI/ML technologies.
  • Understanding of responsible AI principles including ethics, fairness, transparency, and privacy.
  • Experience with a Commodities Trading business preferred.

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